07 May 2026

Integration of pit thermal energy storages into district heating networks – a techno-economic case study

Presented by John

Link to paper 🔗

Full citation: Sifnaios I., Fan J., Jensen A.R. (2025). Applied Thermal Engineering, 279, 127770.


Summary of Paper


Key result

Scenario LCOH (€/MWh) Payback
Reference (heat pumps + boilers, no storage) 44.4
+ PTES (60,000 m³, 90 MW charge rate, optimised) 38.1 ~1 year
+ lower charge temperature (80°C) 36.8 < 1 year
+ 3-week optimisation horizon 37.7 < 1 year

Discussion questions

  1. The dispatch controller assumes perfect foresight of electricity prices and heat demand over a 14-day horizon. How realistic is this? What other models could be used? Are there other sources of uncertainty?
  2. Do you think that thermal energy storage will play a significant role in the energy transition in the UK or your own country? What advantages does it have over other forms of flexibility? What barriers or challenges exist preventing wider deployment?
  3. For the economic calculations in this study, simulations were run for a period of 25 years at a 1-hour timestep. However, since only data for 2021 were available, they were repeated for each year of the simulation period.

The simulation repeats 2021 data which had an atypical electricity price spike driven by the European gas crisis. How sensitive are the payback and LCOH figures to the assumed electricity price profile, and what does a more conservative scenario look like?


Further reading